You're reading from Azure Data Engineer Associate Certification Guide A hands-on reference guide to developing your data engineering skills and preparing for the DP-203 exam

Product type Paperback

Published in Feb 2022

Publisher Packt

ISBN-13 9781801816069

Length 574 pages

Edition 1st Edition

Tools

Azure

Concepts

Big Data

Author (1):

Newton Alex

View More author details

Table of Contents (23) Chapters

Preface

1. Part 1: Azure Basics

2. Chapter 1: Introducing Azure Basics FREE CHAPTER

3. Part 2: Data Storage

4. Chapter 2: Designing a Data Storage Structure

5. Chapter 3: Designing a Partition Strategy

6. Chapter 4: Designing the Serving Layer

7. Chapter 5: Implementing Physical Data Storage Structures

8. Chapter 6: Implementing Logical Data Structures

9. Chapter 7: Implementing the Serving Layer

10. Part 3: Design and Develop Data Processing (25-30%)

11. Chapter 8: Ingesting and Transforming Data

12. Chapter 9: Designing and Developing a Batch Processing Solution

13. Chapter 10: Designing and Developing a Stream Processing Solution

14. Chapter 11: Managing Batches and Pipelines

15. Part 4: Design and Implement Data Security (10-15%)

16. Chapter 12: Designing Security for Data Policies and Standards

17. Part 5: Monitor and Optimize Data Storage and Data Processing (10-15%)

18. Chapter 13: Monitoring Data Storage and Data Processing

19. Chapter 14: Optimizing and Troubleshooting Data Storage and Data Processing

20. Part 6: Practice Exercises

21. Chapter 15: Sample Questions with Solutions

22. Other Books You May Enjoy

Chapter 2: Designing a Data Storage Structure

Welcome to Chapter 2. We will be focusing on Azure data storage technologies in this chapter. Azure provides several storage technologies that can cater to a wide range of cloud and hybrid use cases. Some of the important Azure storage technologies includes: Blobs, Files, Queues, Tables, SQL Database, Cosmos DB, Synapse SQL Warehouse, and Azure Data Lake Storage (ADLS). Azure bundles the four fundamental storage technologies, namely:—Blobs, Files, Queues, and Tables—as Azure Storage. Other advanced services such as Cosmos DB, SQL Database, ADLS, and so on are provided as independent Azure services.

From this chapter onward, we will be following the exact sequence of the DP-203 syllabus.

We will mostly be focusing on the design aspects of storage structures in this chapter. The corresponding implementation details will be covered in the later chapters.

This chapter will cover the following topics: